Indexing of the Current and Near-Future Positions of Moving Objects
A scenario is assumed where a large population of objects capable of reporting positional data to a central server exists. Specifically, an object may report its current position but may also report its current velocity vector.
A key challenge is to be able to accommodate the very frequent updates inherent to this scenario. Another important challenge is to contend with, and indeed exploit, all the available positional data so that better query results to near-future queries are enabled.
To address these challenges, the position of an object is typically modeled as a linear function from time to space (typically the two- or three-dimensional Euclidean spaces are assumed). Such functions are readily available, and the positions they return get outdated less frequently than do constant functions, thus reducing the update rate. Further, they enable the computation of more accurate results for near-future queries.
The fundamental types of queries to be supported by an index...
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